### Table 3: Human Ch10 clustering results using different distance functions ??? at what cutoff

"... In PAGE 7: ...bjects in the dataset. If Savg(i) is close to 1, the objects are well clustered or structured. We calculate the cluster statistics using different distance functions. Table3 shows the cluster qualities of each of the five distance functions on Human Chromosome 10. We chose the Entropy Weighted distance function for the remainder of our analysis because it scores well on both measures... ..."

### Table 2. Results of applying three different distance functions to compute the average distortions

2002

"... In PAGE 5: ...(10). The results of this experiment are shown in Table2 . We can see that this result just fits our expectation because our aim is to find a matrix M which minimize the ... ..."

Cited by 1

### TABLE I DETECTION RATE AS A FUNCTION OF DISTANCE FOR DIFFERENT SOUNDS

2004

Cited by 14

### TABLE I DETECTION RATE AS A FUNCTION OF DISTANCE FOR DIFFERENT SOUNDS

2004

Cited by 14

### Table 1. Recall, in percent, of the (member, instrument)- pairs on the ground truth for different query schemes and string distance functions.

"... In PAGE 2: ...ty is above 0.9. For calculating the distance, we use the open-source Java toolkit SecondString 8 . Table1 shows the overall recall of the (band member, instrument)-pairs on the ground truth. A (member, instru- ment)-pair is only considered as correct if both the mem- ber and the instrument are predicted correctly.... ..."

### Table 1: Difference between cost functions and the distance between the symmetric cubic spiral and the B-spline minimizers Bn.

1000

### Table 1: Exponents of the power law function / E for different core distances, primaries and high-energy interaction models.

"... In PAGE 3: ... Figure 2 displays the relations between the average muon density and the primary energy, described by a power law / E as an example for one interaction model and one core distance. The values of all resulting from a fitting procedure are listed in Table1 . The quoted uncertainties are due to the limited statistics of the simulated showers.... ..."

### Table 1: The pros and cons of different bases to characterize plans. In the rest of the paper, we start by formalizing the problem and then propose different plan distance functions. Next, we propose methods to find diverse plans and demonstrate their effectiveness using GP-CSP and LPG. We end with a discus- sion on related work and our main results.

2007

"... In PAGE 2: ... The causal structures of the two plans measured in terms of the causal links representing how actions contribute to the goals being achieved.3 Table1 gives the pros and cons of using the different com- parison methods. We note that if actions in the plans are used as the basis for comparison, no additional problem or domain theory information is needed.... ..."

Cited by 2

### Table 1: The pros and cons of different bases to characterize plans. In the rest of the paper, we start by formalizing the problem and then propose different plan distance functions. Next, we propose methods to find diverse plans and demonstrate their effectiveness using GP-CSP and LPG. We end with a discus- sion on related work and our main results.

2007

"... In PAGE 2: ... The causal structures of the two plans measured in terms of the causal links representing how actions contribute to the goals being achieved.3 Table1 gives the pros and cons of using the different com- parison methods. We note that if actions in the plans are used as the basis for comparison, no additional problem or domain theory information is needed.... ..."

Cited by 2

### Table 3: For each test function, the average best found objective function value is presented for different neighborhood topologies and synchronization distances, using a fixed number of 16 archives.

"... In PAGE 6: ... Therefore, we use a fixed number of archives. The results are presented in Table3 . In many of the test functions, nei- ther the neighborhood topology nor the synchronization dis- tance had an impact on the quality of the final solutions (see Figure 8).... ..."